Fog computing can be used to offload computationally intensive tasks from battery powered Internet of Things (IoT) devices. Although it reduces energy required for computations in an IoT device, it uses energy for communications with the fog. This paper analyzes when usage of fog computing is more energy efficient than local computing. Detailed energy consumption models are built in both scenarios with the focus set on the relation between energy consumption and distortion introduced by a Power Amplifier (PA). Numerical results show that task offloading to a fog is the most energy efficient for short, wideband links.
翻译:雾计算可用于卸载由电池充电的“ 物” (IoT) 设备互联网上的计算密集型任务。 虽然它减少了在 IoT 设备中计算所需的能量, 但它使用能量与雾进行通信。 本文分析雾计算使用比本地计算更节省能源的情况。 详细的能源消耗模型建在两种假设中, 其重点是电力放大器( PA) 引入的能源消耗和扭曲之间的关系。 数字结果显示, 将任务卸载到雾中对于短宽带连接最为高效的能源。